Ryan Tate and Rachel Nypaver take a closer look at what happens in the lab between collecting an oil sample and receiving the final analysis report, including the tests performed and how those results come together.
Transformer failures can disrupt operations, reliability, and reputation. Jon Bucciarelli and Jason Dennison explain how the first four of SDMyers’ Eight Truths help teams use criticality, oil data, temperature, and moisture to identify risks before failures occur.
Roy Giorgio demonstrates why the older model of the P-F Curve can be misleading, using an example of a conveyor gearbox in which problematic data was disregarded…
The traditional P-F Curve does not cover all scenarios. Roy Giorgio of AssetWatch demonstrates what a P-F Curve in the field could look like, using a case study of simple precision lubrication…
In this session, we’ll be reviewing oil analysis for determining whether or not new oil/grease is in proper condition, and appropriate analysis to be done on an ongoing basis to assure that the lubricants in use are in proper condition.
You will learn how to calculate the economic impact of ignoring oil analysis data in a simple-to-understand format. We also explore several case studies to show what a true problem-to-failure curve looks like when the data is ignored.
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